Type:
Volume:
65(1)
Pages:
online
Year:
2011
Publisher:
The American Statistician
URL:
http://pubs.amstat.org/doi/pdf/10.1198/tast.2011.08241
Abstract:
Although much attention has been paid to issues around student<br>assessment, for most introductory statistics courses few<br>changes have taken place in the ways students are assessed. The<br>assessment literature describes three foundational elements -<br>cognition, observation, and interpretation - that comprise an<br>"assessment triangle" underlying all assessments. However,<br>most instructors focus primarily on the second component:<br>tasks that are used to produce grades. This article focuses on<br>three sections written by leading statistics educators who describe<br>some innovative and even provocative approaches to rethinking<br>student assessment in statistics classes.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education